Spaces:
Sleeping
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Commit
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da30d43
1
Parent(s):
5411b02
Workflows
Browse files- .github/workflows/main.yaml +1 -1
- Dockerfile +41 -0
- README.md +8 -0
- pyproject.toml +16 -0
.github/workflows/main.yaml
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@@ -21,6 +21,6 @@ jobs:
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- name: Push to hub
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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run: git push --force https://
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- name: Push to hub
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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run: git push --force https://amanmaurya0704:[email protected]/spaces/amanmaurya0704/Agentic main
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Dockerfile
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# Base Image
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FROM python:3.12-slim
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# Environment Variables
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1
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RUN apt-get update && apt-get install -y curl build-essential \
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&& rm -rf /var/lib/apt/lists/* # Clean up apt cache to keep image size small
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# Set the working directory inside the container
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WORKDIR /app
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# (Optional, but good practice if you want to use uv for faster installs)
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# Install uv
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RUN curl -LsSf https://astral.sh/uv/install.sh | sh \
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&& echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc
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# Ensure uv is in the PATH for the current session (for RUN commands that follow)
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ENV PATH="/root/.local/bin:${PATH}"
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# Copy application code
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COPY pyproject.toml ./
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# Create and set up virtual environment
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RUN uv pip install . --system && \
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uv venv && \
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uv sync && \
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uv build
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# Copy your entire application code
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COPY . .
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# Expose the port Streamlit runs on (default is 8501)
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EXPOSE 8501
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# Command to run your Streamlit application
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# Replace `your_streamlit_app.py` with the actual name of your Streamlit file
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CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]
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README.md
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# END to END Agentic AI Project
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---
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title: IntelliAgentUI
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emoji: 🧠
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colorFrom: blue
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colorTo: blue
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sdk: docker
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app_port: 8501
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---
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# END to END Agentic AI Project
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pyproject.toml
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[project]
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name = "langgraph-project"
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"faiss-cpu>=1.11.0",
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"langchain>=0.3.25",
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"langchain-community>=0.3.24",
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"langchain-groq>=0.3.2",
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"langchain-openai>=0.3.18",
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"langgraph>=0.4.7",
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"pandas>=2.2.3",
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"streamlit>=1.45.1",
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]
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